Hopsworks
Hopsworks is an enterprise-grade feature store for machine learning, designed to manage and serve features for training and real-time inference. It supports collaborative development, governance, and scalable MLOps workflows, with native integration for cloud and on-prem environments.
Key Features
Feature Store: Centralized platform to store, share, and reuse ML features across teams.
Online & Offline Stores: Serve low-latency features for real-time inference and batch training.
Data Validation & Monitoring: Built-in tools for data quality, drift detection, and versioning.
Integration Ready: Works with Spark, Kafka, Airflow, SageMaker, Databricks, and more.
Collaborative ML Platform: Supports multi-tenant projects, access control, and GitOps workflows.
Example Use Cases
Serving real-time features to production ML models
Enabling consistent features across training and inference
Sharing validated, reusable features across teams and pipelines
Monitoring feature drift and ensuring compliance in ML pipelines